Manage and label your data efficiently
Evaluate evaluators in Grounded Question Answering
Browse and view Hugging Face datasets from a collection
Clean and process datasets
Perform OSINT analysis, fetch URL titles, fine-tune models
Annotation Tool
Review and rate queries
Launch and explore labeled datasets
Search for Hugging Face Hub models
Upload files to a Hugging Face repository
Browse and view Hugging Face datasets
Provide feedback on AI responses to prompts
Build datasets and workflows using AI models
Fortune Telling is a tool designed for dataset creation and management, helping users efficiently organize and label their data. It streamlines the process of preparing datasets for various applications, making it easier to handle large amounts of information.
• Data Organization: Easily sort, categorize, and manage your datasets.
• Labeling Tools: Robust features for annotating and labeling data with precision.
• Workflow Management: Streamlined processes to ensure efficient data preparation.
• Integration: Compatible with multiple formats and systems for seamless data handling.
• Analytics: Built-in tools for data analysis and insights generation.
What formats does Fortune Telling support?
Fortune Telling supports a variety of formats, including CSV, JSON, and Excel files, ensuring compatibility with most data workflows.
How accurate is the labeling process?
The labeling tools are designed for precision, but accuracy depends on the quality of input and user input during the annotation process.
Where are my datasets stored?
Datasets are stored locally on your device unless you choose to export or upload them to external platforms.